Papers with text-to-text methods
JsonTuning: Towards Generalizable, Robust, and Controllable Instruction Tuning (2025.findings-acl)
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| Challenge: | Existing text-to-text methods struggle with issues such as generalization, robustness, and controllability due to their lack of explicit task structures. |
| Approach: | They propose a structure-to-structure approach that uses JSON structures to represent tasks. |
| Outcome: | The proposed method outperforms TextTuning in terms of performance, robustness, and controllability across different scenarios. |